2008 International Conference on BioMedical Engineering and Informatics Neural Network Diagnosis System for 3-Dimensional Ultrasonography with Gabor Filter Aided Speckle Decorrelation May 27-May 30 ISBN: 978-0-7695-3118-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.155
In this paper, a neural network diagnosis system for 3-dimensional ultrasonography using Gabor filters to eliminate the speckle noise is introduced. Since the importance of the relationship between surface features and internal architecture of the breast tumor, we applied our system using three dimensional (3D) inter-pixel correlation instead of 2D features. Furthermore, Gabor filters provide a multi-resolution representation of texture, which increasing the capabilities of ultrasound technology in the differential diagnosis of solid breast tumors. Our experiments show that the performance of the proposed diagnostic method is effective.
Index Terms:
3D ultrasound, breast tumor, speckle noise, Gabor filter, auto-correlation, neural network
Citation:
Wei-Ming Chen, Chi-Hsiang Lo, Han-Chieh Chao, Chun Cheng Chang, Dar-Ren Chen, "Neural Network Diagnosis System for 3-Dimensional Ultrasonography with Gabor Filter Aided Speckle Decorrelation," bmei, vol. 2, pp.193-197, 2008 International Conference on BioMedical Engineering and Informatics, 2008 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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